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NEW QUESTION: 1
What is the purpose of the option -clean for the applyUpdates command?
A. to erase all files that are in temporary folders related to the fix pack
B. to erase all filesthat have been backed up prior to applying the current fix pack
C. to erase all files that were applied during the last fix pack installation
D. to erase all files that have been backed up after applying a fix pack
Answer: B

NEW QUESTION: 2
You have a web app named WebApp1 that has the autoscale condition shown in the following exhibit.

Every autoscale condition rule is configured to have a duration of 20 minutes and a cool down time of 10 minutes.
At 06:00, 500 users are connected to WebApp1, WebApp1 is running two instances, and the average CPU utilization is consistently 50 percent.
At 07:00, 720 users are connected to WebApp1 and the average CPU utilization increases to 72 percent.
If 720 users remain connected to WebApp1, how many instances of WebApp1 will be running at 07:35?
A. 0
B. 1
C. 2
D. 3
Answer: C
Explanation:
Explanation
The duration is 20 minutes and the cool-down time is 10 minutes. The autoscale is triggered when the duration has passed. Thus it will trigger at 7:20. It will not trigger again until the cool-down time has lapsed. At 7:30 it will trigger a second time if the CPU usage remains above 60%. However, we have scaled out to double the instances. Thus CPU usage would drop.
Reference:
https://docs.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets-autoscale-portal

NEW QUESTION: 3
Consider the following distributed P8 configuration:
All objectstores are configured to use file storage areas and content based retrieval (CBR). A complete offline backup of the system runs daily at 10 PM. If a disk failure occurs at 2 PM on server C and all database files are lost, how should the administrator recover the system?
A. Restore database files to server C
B. Restore database files to server C, index collection files to server B, and file storage files to the NAS device
C. Restore database files to server C, and index collection files to server B
D. Restore database files to server C, and file storage files to the NAS device
Answer: B

NEW QUESTION: 4
For this question, refer to the Mountkirk Games case study.
Mountkirk Games' gaming servers are not automatically scaling properly. Last month, they rolled out a new feature, which suddenly became very popular. A record number of users are trying to use the service, but many of them are getting 503 errors and very slow response times. What should they investigate first?
A. Verify that the database is online.
B. Verify that the project quota hasn't been exceeded.
C. Verify that the load-testing team is not running their tool against production.
D. Verify that the new feature code did not introduce any performance bugs.
Answer: A
Explanation:
Explanation: 503 is service unavailable error.
Topic 1, Mountkirk Games Case Study
Company Overview
Mountkirk Games makes online, session-based. multiplayer games for the most popular mobile platforms.
Company Background
Mountkirk Games builds all of their games with some server-side integration and has historically used cloud providers to lease physical servers. A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools.
Mountkirk's current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics and take advantage of its autoscaling server environment and integrate with a managed NoSQL database.
Technical Requirements
Requirements for Game Backend Platform
1. Dynamically scale up or down based on game activity.
2. Connect to a managed NoSQL database service.
3. Run customized Linx distro.
Requirements for Game Analytics Platform
1. Dynamically scale up or down based on game activity.
2. Process incoming data on the fly directly from the game servers.
3. Process data that arrives late because of slow mobile networks.
4. Allow SQL queries to access at least 10 TB of historical data.
5. Process files that are regularly uploaded by users' mobile devices.
6. Use only fully managed services
CEO Statement
Our last successful game did not scale well with our previous cloud provider, resuming in lower user adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the gams to target users.
CTO Statement
Our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.
CFO Statement
We are not capturing enough user demographic data usage metrics, and other KPIs. As a result, we do not engage the right users. We are not confident that our marketing is targeting the right users, and we are not selling enough premium Blast-Ups inside the games, which dramatically impacts our revenue.